Title :
Two new techniques for optimal control
Author_Institution :
Dept. of Autom. Control, Beijing Inst. of Technol., China
fDate :
11/1/1991 12:00:00 AM
Abstract :
Two techniques for deterministic discrete-time optimal control problems with inequality and equality constraints on state and control variables are presented. The first one tackles a problem by solving a sequence of two-stage subproblems successively. Convergence properties are discussed under general conditions. The second method, a version of the first one, is constructed for parallel computation. It solves multiple subproblems simultaneously and can therefore calculate much faster. The Kuhn-Tucker conditions for discrete-time optimal-control are discussed
Keywords :
convergence of numerical methods; discrete time systems; optimal control; optimisation; Kuhn-Tucker conditions; convergence; deterministic discrete-time optimal control; equality constraints; inequality constraints; optimisation; Acceleration; Automatic control; Concurrent computing; Convergence; Mechanical engineering; Optimal control; Strain control;
Journal_Title :
Automatic Control, IEEE Transactions on
